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Linguistic patterns-based translation for natural language interface


Mohd Sharef, Nurfadhlina and Mohd Noah, Shahrul Azman (2014) Linguistic patterns-based translation for natural language interface. In: 2014 International Conference on Information Science and Applications (ICISA), 6-9 May 2014, Seoul, Korea. (pp. 1-5).


Semantic technology improves classical information retrieval by representing the information in a structured form and with notion of understanding. The querying process however requires formal language which could be challenging to novice users. The natural language interface research addresses this issue by translating the user's question into the formal query. Existing studies have provided limited question understanding coverage due to limitation on single triple translation only. This paper addresses deeper understanding of semantic natural language through twelve linguistic patterns. The result has shown that the method manages to extract the linguistic expressions and aid the translation process. This concludes that wider linguistic coverage can be provided by higher linguistic expressions processing.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/ICISA.2014.6847424
Publisher: IEEE (IEEE Xplore)
Keywords: Natural language; Linguistic; Semantic question answering
Depositing User: Nursyafinaz Mohd Noh
Date Deposited: 07 Jul 2015 06:45
Last Modified: 13 Jul 2015 04:53
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICISA.2014.6847424
URI: http://psasir.upm.edu.my/id/eprint/39101
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